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How to learn about big data processing frameworks without a clustered environment

From actual big data applications.

One of the applications of big data is public opinion monitoring.

The public opinion monitoring system is a set of informatization platform for the emerging media of the Internet, which provides direct support for the correct public opinion direction and collection of netizens' opinions through real-time automatic public opinion collection, public opinion analysis, public opinion summarization, public opinion surveillance, and identification of key public opinion information, timely notification to the relevant personnel, and thus the first time emergency response.

The above is the process.

Next, the data is collected and can be analyzed for specific events.

For example

Opinion Hotspot Analysis - Jilin University Campus Murder Causes 1 Death and 1 Injury to Student

At 11:54 p.m. on the night of Sept. 5, a social worker committed an assault on the south side of the road of the three apartments of Jingxin on the central campus of Jilin University, and one student in the course of study was killed and one injured. After the incident, the school quickly responded to cooperate with the public security and emergency departments to quickly carry out the work. The suspect has surrendered to the public security authorities. The injured students are in stable condition and their lives are not in danger. The school said: on the current situation, the perpetrator is not a university student, but social personnel, the two sides do not seem to have any interactions, should not know, but this is still to be confirmed by the public security organs.

This is the result of big data processing, and more relevant public opinion analysis will have a deeper understanding.